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Research Paper | Computer Science & Engineering | India | Volume 5 Issue 5, May 2016 | Rating: 6.2 / 10
Collision Informer Using Augmented Reality
Aakash Agrawal, Gourishankar Bawade, Samruddha Shete, Roma Maity
Abstract: This project proposes drivers assistant system architecture determined by image control techniques. A new camera is mounted on the vehicle front window to detect road markings and determine often the vehicles situation with respect to the lane lines. A modified approach is proposed to accelerate the process in a computationally productive manner, thereby making it suitable for real time lane detection. Often the acquired impression sequences usually are analyzed as well as processed by means of proposed program, which easily detects the exact lane markings. The suggested system also captures almost any obstacle inside road and also detects the item in real time and give alert for it. The android application will have augmented certainty graphics designed and set in it.
Keywords: Augmented Reality, Driver Assitant, Image Processing
Edition: Volume 5 Issue 5, May 2016,
Pages: 174 - 176